System and method for exploiting semantic annotations in executing keyword queries over a collection of text documents

a semantic annotation and query technology, applied in the field of query systems, can solve the problems of difficulty in exploiting available semantic annotations, conventional retrieval systems cannot find documents, and the architecture of conventional information retrieval systems is not explicitly designed to take advantage of semantic annotations, so as to achieve flexible architecture and no additional burden on users
US7548933B2Inactive Publication Date: 2009-06-16INT BUSINESS MASCH CORP
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Patents(United States)
Current Assignee / Owner
INT BUSINESS MASCH CORP
Publication Date
2009-06-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

A query interpretation system exploits semantic annotations in keyword queries over a collection of text documents, casting semantic annotations produced by text analysis engines into a formal annotation type system. The system uses the annotation type system to enumerate various interpretations of a keyword query and automatically translate a keyword query into a set of interpretations expressed in some intermediate query language. The system returns a result list of documents by combining the results of executing one or more of these interpretations. Even though the system generates and uses a complex type system, a user is able to use simple keyword queries to locate documents.
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Description

FIELD OF THE INVENTION

[0001] The present invention generally relates to query systems and in particular, the present system relates to querying documents that are associated with semantic annotations. More specifically, the present system pertains to modeling such annotations as a type system and translating keyword queries into one or more complex queries against the this type system.BACKGROUND OF THE INVENTION

[0002] Conventional information retrieval systems (also known as text retrieval systems or text search engines) view document collections as standalone text corpora with little or no structured information associated with them. However, there are two primary reasons why such a view is no longer tenable. First, modern enterprise applications for customer relationship management, collaboration, technical support, etc., regularly create, manipulate, and process data that contains a mix of structured and unstructured information. In such applications, there is inherently a fair amo...

Claims

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